Data Scientist - Meyrin, Schweiz - Talan

Talan

Geprüftes Unternehmen

Meyrin, Schweiz

vor 1 Woche

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

A propos de Talan
For 20 years, Talan has advised major companies and administrations, supported them, and implemented their transformation and innovation projects.

The Group places innovation at the heart of its development and operates in areas related to technological changes, such as Big Data, IoT, Blockchain and Artificial Intelligence.

Present on 5 continents, 13 countries, Talan plans to achieve a turnover of 600 million euros in 2023 for more than 6,000 consultants and aims to exceed the one billion € turnover mark by 2025.

Talan has been operating for 20 years, advising major companies in Finance, Insurance, Telecommunications, Services, Distribution, Public Sector. Our consultants are agile and pragmatic. We combine together consulting services, technological expertise and a capacity to deliver and deploy projects.

We do everything possible to ensure that our employees can thrive and grow at Talan.

As a result, we have received the "Great Place to Work" certification, which recognizes compagnies where it feels good to work.

Present in Geneva and Lausanne, Talan Switzerland now has nearly 150 employees.

Initially focuse in the financial sector, Talan has developed in recent years in the watchmaking, insurance, media and services sectors.

Analyze:

Analyze the technical and functional feasibility
Be aware of the catalog of products available within Trading entities to generalize existing products as much as possible
Be up to date with technologies / Probe the state of the art / Carry out an active technological watch

Produce:

Develop functionalities according to customer needs
Ensure the proper functioning of the deliverable through monitoring and testing
Adjust the deliverable based on feedback

Communicate:

Support businesses in the use of delivered solutions
Document the codes as well as the algorithms
Collect feedback
Enrich your business knowledge through a perpetual dialogue with the business
Rule on the decisions to be made during a project
State the advances / obstacles during a project
Popularize to facilitate understanding / Acculturate to encourage new initiatives
Communicate on past achievements
Graduated with a master's degree in Data Science with a good knowledge of all Data Science techniques.
You master the fundamentals concerning the manipulation/visualization of data, and also Back-End language: Python
You have good knowledge of noSQL databases (MongoDB, ElasticSearch)
Good skills on DevOps (Docker, Git, TFS/Azure Dev Ops, Github) are required
Fluency in English is essential
You are curious and openminded, rigorous and dynamic.
You have good communication skills, view height, flexible and agile.
You are strongly customer oriented.